Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach
文献类型：期刊论文
| 作者 | Cheng, Long3,4; Wang, Kailai2,5; De Vos, Jonas6; Huang, Jie1; Witlox, Frank4,7 |
| 刊名 | TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
 |
| 出版日期 | 2022-08-01 |
| 卷号 | 162页码:175-187 |
| ISSN号 | 0965-8564 |
| 关键词 | Bike-sharing Public transport Bike-and-ride Built environment Nonlinearity Shared mobility Nanjing (China) |
| DOI | 10.1016/j.tra.2022.05.022 |
| 通讯作者 | Wang, Kailai(kwang43@cougarnet.uh.edu) |
| 英文摘要 | Bike-sharing offers a convenient feeder mode for connecting to public transport, which helps to address the last-mile problem. However, few studies have examined the nuanced relationship between the built environment and the integration of free-floating bike-sharing (FFBS) with urban rail transport (URT). Drawing on weekly records of 3.12 million trips of the FFBS system in Nanjing, China, we examined the nonlinear effects of the built environment on FFBS-URT integrated use. A quantile regression method is utilised to estimate the relationships for morning and evening peaks, respectively. The results demonstrate the existence of the nonlinearity of the relationships. The effects of the built environment show variations in the significance levels and magnitudes of coefficients, depending on the quantiles. For example, the length of minor roads in station areas is strongly related to the integrated use at low quantile stations, whereas this effect is not statistically significant at medium and high quantiles. We also find that bicycle infrastructure displays more salient nonlinear effects than land-use variables and external transport facilities. In addition, temporal differences in the relationships between the built environment and the integrated use are also unveiled. Our findings help to inform dedicated and effective built environment interventions which support the planning of seamless connections between bike-sharing and urban rail transport. |
| WOS关键词 | PUBLIC-TRANSIT ; FEEDER MODE ; BICYCLE ; DETERMINANTS ; RIDERSHIP ; IMPACTS ; GENDER ; SYSTEM ; INCOME ; USAGE |
| 资助项目 | Fundamental Research Funds for the Central Universities[2242022 R10009] |
| WOS研究方向 | Business & Economics ; Transportation |
| 语种 | 英语 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| WOS记录号 | WOS:000811712900006 |
| 资助机构 | Fundamental Research Funds for the Central Universities |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/180116]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Kailai |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing, Peoples R China 2.4730 Calhoun Rd, Houston, TX 77204 USA 3.Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing, Peoples R China 4.Univ Ghent, Dept Geog, Ghent, Belgium 5.Univ Houston, Dept Construction Management, Houston, TX USA 6.UCL, Bartlett Sch Planning, London, England 7.Univ Tartu, Dept Geog, Tartu, Estonia |
| 推荐引用方式 GB/T 7714 | Cheng, Long,Wang, Kailai,De Vos, Jonas,et al. Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach[J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE,2022,162:175-187. |
| APA | Cheng, Long,Wang, Kailai,De Vos, Jonas,Huang, Jie,&Witlox, Frank.(2022).Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach.TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE,162,175-187. |
| MLA | Cheng, Long,et al."Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach".TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE 162(2022):175-187. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。